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不同地区大麦种质资源农艺性状分析与评价
引用本文:张宇,师祎,刘悦善,胡丹. 不同地区大麦种质资源农艺性状分析与评价[J]. 甘肃农业科技, 2022, 0(8): 30-36
作者姓名:张宇  师祎  刘悦善  胡丹
作者单位:甘肃省种子总站,甘肃 兰州 730020
摘    要:为了筛选综合性状优异的大麦种质并探究其主要农艺性状的遗传基础,以57份大麦种质资源为材料,对在张掖、兰州两地的57份大麦种质资源的株高、穗长、穗粒数、总分蘖数、有效分蘖数和千粒重等农艺性状进行鉴定,结果表明,两地区6个性状的平均变异系数为23.08%和26.19%,且张掖地区种植的大麦材料6个农艺性状均优于兰州。通过系统聚类,将参试的57份材料分别分为3个类群,第I类群分别为半矮秆型材料(张掖地区)和中高秆材料(兰州地区),第II类群和第III类群均为中高秆材料。在主成分分析中,选取累计贡献率为80.072%和75.501%的前3个主成分来评价57份大麦资源。揭示了不同大麦资源的表型特异性。

关 键 词:大麦  种质资源  农艺性状  相关分析  聚类分析  主成分分析
收稿时间:2022-05-17

Study on Analysis and Evaluation of Agronomic Traits of Barley Germplasm Resources in Different Regions
ZHANG Yu,SHI Yi,LIU Yueshan,HU Dan. Study on Analysis and Evaluation of Agronomic Traits of Barley Germplasm Resources in Different Regions[J]. Gansu Agricultural Science and Technology, 2022, 0(8): 30-36
Authors:ZHANG Yu  SHI Yi  LIU Yueshan  HU Dan
Affiliation:Gansu Plant Seed Administrative Station, Lanzhou Gansu 730020, China
Abstract:In order to screen barley germplasm with excellent comprehensive characters and to explore the genetic basis of its main agronomic characters, 57 barley varieties were used as materials in this study. The agronomic characters such as plant height, spike length, grain number per spike, total tillers, number of effective tillers, 1000-grain weight of those 57 varieties grown in Zhangye and Lanzhou were identified. The results showed that the average coefficients of variation of 6 traits in the two regions were 23.08% and 26.19%, respectively, and the 6 agronomic traits of barley grown in Zhangye region were better than those in Lanzhou.Through systematic clustering, 57 materials tested in the two regions were divided into three groups, group I was semi dwarf materials (Zhangye region) and medium high stalk materials(Lanzhou region), and group II and III were medium high stalk materials. In the principal component analysis, the first three principal components with cumulative contribution rates of 80.072% and 75.501% were selected to evaluate 57 barley resources. This study revealed the phenotypic specificity of different barley resources.
Keywords:Barley   Germplasm resource   Agronomic trait   Correlation analysis   Cluster analysis   Principal component analysis
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